About this class
Machine Learning in Quantitative FInance
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Learning Material
Title
Volume
Unit 1: Deep Reinforcement Learning for Portfolio Optimization
5.89 MB
<p>Deep Reinforcement Learning for Portfolio Optimization</p>
Unit 2: Bayesian Deep Learning for Option Pricing
5.89 MB
<p>Bayesian Deep Learning for Option Pricing</p>
Unit 3: Time Series Forecasting with Long Short-Term Memory (LSTM) Networks
5.89 MB
<p>Time Series Forecasting with Long Short-Term Memory (LSTM) Networks</p>
Unit 4: Non-parametric Methods for Risk Assessment
5.89 MB
<p>Non-parametric Methods for Risk Assessment</p>
Unit 5: High-Frequency Trading Strategies Using Machine Learning
5.89 MB
<p>High-Frequency Trading Strategies Using Machine Learning</p>
Unit 6: Model Interpretability and Explainability in Algorithmic Trading
5.89 MB
<p>Model Interpretability and Explainability in Algorithmic Trading</p>
Unit 7: Advanced Feature Engineering for Credit Scoring
5.89 MB
<p>Advanced Feature Engineering for Credit Scoring</p>
Unit 8: Market Microstructure Modeling with Machine Learning
5.89 MB
<p>Market Microstructure Modeling with Machine Learning</p>
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